End of training

README.md

@@ -1,29 +1,16 @@
 ---
-base_model: openai/whisper-large-v3
-datasets:
-- heikal/arabic_call_splitted_6
+library_name: transformers
 language:
 - ar
-library_name: transformers
 license: apache-2.0
-metrics:
-- wer
+base_model: openai/whisper-large-v3
 tags:
 - generated_from_trainer
+datasets:
+- heikal/arabic_call_splitted_7
 model-index:
 - name: whisper large-v3 ar resturant 5
-  results:
-  - task:
-      type: automatic-speech-recognition
-      name: Automatic Speech Recognition
-    dataset:
-      name: Arabic calls splitted
-      type: heikal/arabic_call_splitted_6
-      args: 'config: ar, split: test'
-    metrics:
-    - type: wer
-      value: 59.48275862068966
-      name: Wer
+  results: []
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -32,9 +19,6 @@ should probably proofread and complete it, then remove this comment. -->
 # whisper large-v3 ar resturant 5
 
 This model is a fine-tuned version of [openai/whisper-large-v3](https://huggingface.co/openai/whisper-large-v3) on the Arabic calls splitted dataset.
-It achieves the following results on the evaluation set:
-- Loss: 1.8319
-- Wer: 59.4828
 
 ## Model description
 
@@ -60,19 +44,16 @@ The following hyperparameters were used during training:
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
 - lr_scheduler_warmup_steps: 500
-- training_steps: 1000
+- training_steps: 500
 - mixed_precision_training: Native AMP
 
 ### Training results
 
-| Training Loss | Epoch | Step | Validation Loss | Wer     |
-|:-------------:|:-----:|:----:|:---------------:|:-------:|
-| 0.0005        | 250.0 | 1000 | 1.8319          | 59.4828 |
 
 
 ### Framework versions
 
-- Transformers 4.44.2
+- Transformers 4.45.1
 - Pytorch 2.4.1+cu121
-- Datasets 3.0.0
-- Tokenizers 0.19.1
+- Datasets 3.0.1
+- Tokenizers 0.20.0

config.json

@@ -1,5 +1,5 @@
 {
-  "_name_or_path": "openai/whisper-large-v3",
+  "_name_or_path": "heikal/whisper-large-v3-ar-resturant5",
   "activation_dropout": 0.0,
   "activation_function": "gelu",
   "apply_spec_augment": false,
@@ -7,10 +7,7 @@
     "WhisperForConditionalGeneration"
   ],
   "attention_dropout": 0.0,
-  "begin_suppress_tokens": [
-    220,
-    50257
-  ],
+  "begin_suppress_tokens": null,
   "bos_token_id": 50257,
   "classifier_proj_size": 256,
   "d_model": 1280,
@@ -33,7 +30,7 @@
   "mask_time_length": 10,
   "mask_time_min_masks": 2,
   "mask_time_prob": 0.05,
-  "max_length": 448,
+  "max_length": null,
   "max_source_positions": 1500,
   "max_target_positions": 448,
   "median_filter_width": 7,
@@ -43,7 +40,7 @@
   "pad_token_id": 50256,
   "scale_embedding": false,
   "torch_dtype": "float32",
-  "transformers_version": "4.44.2",
+  "transformers_version": "4.45.1",
   "use_cache": true,
   "use_weighted_layer_sum": false,
   "vocab_size": 51866

generation_config.json

@@ -253,5 +253,5 @@
     "transcribe": 50360,
     "translate": 50359
   },
-  "transformers_version": "4.44.2"
+  "transformers_version": "4.45.1"
 }

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